Narrow search
Showing 1 - 10 of 2,613
Cover Image
International migration to Germany : estimation of a time-series model and inference in panel cointegration.
Brücker, Herbert; Siliverstovs, Boriss; Trübswetter, … - 2003
In this paper we study the determinants of international migration to Germany, 1967-2000. The empirical literature on macro-economic migration functions usually explains migration flows by a set of explanatory variables such as the income differential, employment rates, and migrations stocks as...
Persistent link: https://www.econbiz.de/10011439458
Cover Image
Noncausality and inflation persistence
Lanne, Markku - 2013
1970:1.2012:2. These nonlinear models capture the autocorrelation structure of the inflation series as accurately as their …
Persistent link: https://www.econbiz.de/10009724820
Cover Image
A noncausal autoregressive model with time-varying parameters : an application to US inflation
Lanne, Markku; Luoto, Jani - 2013
We propose a noncausal autoregressive model with time-varying parameters, and apply it to U.S. postwar inflation. The model .fits the data well, and the results suggest that inflation persistence follows from future expectations. Persistence has declined in the early 1980.s and slightly...
Persistent link: https://www.econbiz.de/10009724822
Cover Image
A dynamic panel data approach to the forecasting of the GDP of German Länder
Cholodilin, Konstantin Arkadʹevič; Siliverstovs, Boriss; … - 2007 - Corrected version
In this paper, we make multi-step forecasts of the annual growth rates of the real GDP for each of the 16 German Länder (states) simultaneously. Beside the usual panel data models, such as pooled and fixed-effects models, we apply panel models that explicitly account for spatial dependence...
Persistent link: https://www.econbiz.de/10012039490
Cover Image
Forecasting random walks under drift instability
Pesaran, Mohammad Hashem; Pick, Andreas - 2008
This paper considers forecast averaging when the same model is used but estimation is carried out over different … estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or … more structural breaks. It is shown that compared to using forecasts based on a single estimation window, averaging over …
Persistent link: https://www.econbiz.de/10010276222
Cover Image
Leading indicators of German business cycles : an assessment of properties
Fritsche, Ulrich; Stephan, Sabine - 2000
A reliable leading indicator should possess the following properties: (1) The movements in the indicator series should resemble those in the business cycle reference series. (2) The relation between the reference series and the indicator should be statistically significant and stable over time....
Persistent link: https://www.econbiz.de/10011432915
Cover Image
Leading indicators of Euroland business cycles
Fritsche, Ulrich; Marklein, Felix - 2001
The introduction of a common monetary policy in eleven European countries increased the need for leading indicators for that area. A reliable leading indicator should possess the following properties: (1) The movements in the indicator series should resemble those in the business cycle reference...
Persistent link: https://www.econbiz.de/10011433997
Cover Image
Price formation on the EuroMTS platform
Caporale, Guglielmo Maria; Girardi, Alessandro - 2010
This paper examines the process of price discovery in the MTS system, which builds on the parallel quoting of euro-denominated government securities on a number of (relatively large) domestic markets and on a (relatively small) European marketplace (EuroMTS). Using twenty-seven months of daily...
Persistent link: https://www.econbiz.de/10003934756
Cover Image
Fractional integration and cointegration in US financial time series data
Caporale, Guglielmo Maria; Gil-Alaña, Luis A. - 2011
This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...
Persistent link: https://www.econbiz.de/10009426696
Cover Image
Market Efficiency in the Age of Big Data
Martin, Ian - 2020
Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...
Persistent link: https://www.econbiz.de/10012844214